1.Characteristics of the changes in biliary system dynamics under pathological conditions and related clinical translation value
Chenhao WANG ; He BAI ; Yingzheng REN ; Xu SUN ; Huichao ZHU ; Guixin ZHANG
Journal of Clinical Hepatology 2026;42(4):987-992
Changes in biliary system dynamics are closely associated with the development and progression of related diseases, and with the in-depth interdisciplinary research on medical sciences and engineering, the value of biliary biomechanics in clinical diagnosis and treatment has become increasingly important. This article systematically reviews the characteristics of changes in biliary system dynamics under pathological conditions and explores the application value of technologies such as biliary manometry, hydrodynamic evaluation, and experimental simulation in clinical diagnosis, treatment, and postoperative management, so as to deepen the understanding of existing diagnostic and therapeutic modes and provide new ideas for promoting precision medicine for biliary tract diseases.
2.Influencing factors of work-related musculoskeletal disorders among medical staff: a Bayesian network modeling analysis
Li HU ; Feiruo ZHANG ; Yongmei ZHAO ; Ning FANG ; Guixin YU ; Dan LIU ; Dongdong CAO ; Leihan XU ; Zihuan WANG ; Mingxiao GUO ; Yan YE
China Occupational Medicine 2025;52(6):631-636
Objective To understand the current situation and influencing factors of work-related musculoskeletal disorders (WMSDs) in medical staff in Beijing City. Methods A total of 2 687 medical staff were selected as the research subjects using the multi-stage sampling method. The current situation of WMSDs and occupational stress, anxiety symptoms, depressive symptoms, and insomnia symptoms were investigated using the Musculoskeletal Disorders Questionnaire, the Core Occupational Stress Scale, the Generalized Anxiety Disorder Scale, the Patient Health Questionnaire Depression Scale, and the Self-Sleep Management Questionnaire. The Max-Min Hill-Climbing algorithm was used to construct a Bayesian network model to analyze the influencing factors and internal relationships of WMSDs and to conduct reasoning and prediction of the model. Results The prevalence of WMSDs among the research subjects was 88.9%. Binary logistic regression analysis was used to identify age, educational level, personal monthly income, anxiety symptoms, depressive symptoms, insomnia symptoms, prolonged forward-head desk work, and prolonged static posture work to construct the Bayesian network model. The model consisted of nine nodes and eleven directed edges. Prolonged static posture work, prolonged forward-head desk work, and anxiety symptoms were directly related to WMSDs. Age and educational level were indirectly related to WMSDs through their influence on prolonged forward-head desk work. Depression symptoms were indirectly associated with WMSDs through their influence on anxiety symptoms. The model's prediction accuracy was 90.5%. Conclusion The prevalence of WMSDs among medical staff in Beijing City is relatively high. Prolonged static posture work, prolonged forward-head desk work, and anxiety symptoms may directly increase the risk of developing WMSDs.
3.Construction and validation of a nomogram model for predicting cognitive frailty in hospitalized older adults
Yuhua LIU ; Mengya HAN ; Yan XU ; Yuhong LUO ; Chen XIN ; Guixin LIU ; Binru HAN
Chinese Journal of Nursing 2025;60(15):1811-1817
Objective A Nomogram model of cognitive frailty was constructed and validated in hospitalized older adults,providing a reference for early screening,intervention and personalized management of cognitive frailty.Methods A convenience sampling approach was employed to recruit 322 elderly inpatients from a tertiary hospital in Beijing between October 2024 and February 2025 as study participants,and data were collected using the General Information Questionnaire,the Short Form-Mini-Nutritional Assessment,the Asens Insomnia Scale,the Activity of Daily Living Rating,the Self-Rating Anxiety Scale,the Geriatric Depression Scale-15,the Social Support Rating Scale,the Frailty Phenotype scale,the Subjective Cognitive Decline Questionnaire-9,the Mini-Mental State Examination,and the Clinical Dementia Rating.Lasso-Logistic regression was used to screen the variables,R software was used to draw the nomogram model;Bootstrap method was used for internal validation.Results Lasso-Logistic regression screened 8 predictors of age,depression,anxiety,support utilization,nutritional status,literacy,physical activity,and chronic pain,with an area under the subject operating characteristic curve of 0.830(95%CI:0.787-0.873),a sensitivity of 0.764,a specificity of 0.730,an accuracy of 0.748,and a calibrated curve,Brier score,and Hosmer-Lemeshow test(P=0.774)all showed that the model fit was good.Conclusion The Lasso-Logistic regression-based nomogram model of cognitive frailty in hospitalized older adults has good predictive performance and clinical utility,and can be used as a reference for early identification and intervention of cognitive decline in hospitalized older adults.
4.Estrogen receptor alpha-activated adenosine monophosphate-activated protein kinase signaling pathway promotes proliferation and differentiation of osteoblasts
Feng YANG ; Jinfan XU ; Huan LONG ; Fengchun YANG ; Guixin ZHANG ; Tao JIANG ; Qingzhen CHEN ; Min SHAO
Chinese Journal of Tissue Engineering Research 2025;29(24):5061-5070
BACKGROUND:Estrogen receptor α can act as an upstream protein to regulate the expression and phosphorylation level of adenosine monophosphate-activated protein kinase(AMPK).Activation of the estrogen receptor α-AMPK signaling pathway promotes osteogenic proliferation and differentiation.OBJECTIVE:To explore the molecular mechanism of estrogen receptor α regulating AMPK and its effect on osteoblast proliferation and differentiation at osteoblast cell line and molecular biology levels.METHODS:(1)The passaged MC3T3-E1 mouse embryonic osteoblasts were divided into three groups:blank control group,mock group(transfected with pCDNA3.1 control plasmid),and estrogen receptor α group(transfected with pCDNA3.1-estrogen receptor α overexpression plasmid),and RT-qPCR and western blot methods were used to detect the hepatic kinase B1,CaMKKβ,and AMPKα1 mRNA,protein and phosphorylation levels.(2)ChIP-qPCR was used to demonstrate that estrogen receptor α interacts with the hepatic kinase B1 promoter.Dual luciferase assay was used to demonstrate that estrogen receptorα interacts with the hepatic kinase B1 promoter region to activate its transcriptional expression.(3)The cells were divided into three groups:mock+shNC group,estrogen receptor α+shNC group,and estrogen receptor α+shLKB1 group.Changes in the expression levels of hepatic kinase B1,phosphorylated hepatic kinase B1,and phosphorylated AMPKα1 proteins in the cells were detected by western blot.(4)The cells were divided into four groups:mock group,estrogen receptor α group,estrogen receptor α+5 μmol/L Compound C(AMPK inhibitor)group,and estrogen receptor α+10 μmol/L Compound C group.The expression of proteins related to the AMPK signaling pathway and related to osteogenesis and osteoinductivity were detected by western blot method.Cells were transfected for 24 hours and then subjected to osteogenic induction for 14 days.Alkaline phosphatase staining was performed and cell viability in each group was detected.Mineralized nodule formation was detected by alizarin red staining at 21 days of osteogenic induction.(5)The cells were transfected and pretreated with different concentrations of AMPK inhibitor in corresponding groups,and cell viability was detected by cell counting kit 8.RESULTS AND CONCLUSION:(1)Estrogen receptor α activates the AMPK signaling pathway in MC3T3-E1 cells.(2)Estrogen receptor α promotes liver kinase B1 transcription and mediates AMPK signaling pathway activation.(3)Estrogen receptor α promotes the proliferation and differentiation of MC3T3-E1 cells by activating the AMPK signaling pathway,and the expression of AMPKα1,p-AMPKα,osteoprotegerin,osteopontin,and Runx2 proteins was down-regulated under the intervention of AMPK inhibitor,and the viability of osteoblasts was decreased.(4)To conclude,estrogen receptor α activates the AMPK signaling pathway by acting on liver kinase B1 promoter,promotes osteoblast proliferation and osteogenic differentiation,and prevents osteoporosis.
5.Estrogen receptor alpha-activated adenosine monophosphate-activated protein kinase signaling pathway promotes proliferation and differentiation of osteoblasts
Feng YANG ; Jinfan XU ; Huan LONG ; Fengchun YANG ; Guixin ZHANG ; Tao JIANG ; Qingzhen CHEN ; Min SHAO
Chinese Journal of Tissue Engineering Research 2025;29(24):5061-5070
BACKGROUND:Estrogen receptor α can act as an upstream protein to regulate the expression and phosphorylation level of adenosine monophosphate-activated protein kinase(AMPK).Activation of the estrogen receptor α-AMPK signaling pathway promotes osteogenic proliferation and differentiation.OBJECTIVE:To explore the molecular mechanism of estrogen receptor α regulating AMPK and its effect on osteoblast proliferation and differentiation at osteoblast cell line and molecular biology levels.METHODS:(1)The passaged MC3T3-E1 mouse embryonic osteoblasts were divided into three groups:blank control group,mock group(transfected with pCDNA3.1 control plasmid),and estrogen receptor α group(transfected with pCDNA3.1-estrogen receptor α overexpression plasmid),and RT-qPCR and western blot methods were used to detect the hepatic kinase B1,CaMKKβ,and AMPKα1 mRNA,protein and phosphorylation levels.(2)ChIP-qPCR was used to demonstrate that estrogen receptor α interacts with the hepatic kinase B1 promoter.Dual luciferase assay was used to demonstrate that estrogen receptorα interacts with the hepatic kinase B1 promoter region to activate its transcriptional expression.(3)The cells were divided into three groups:mock+shNC group,estrogen receptor α+shNC group,and estrogen receptor α+shLKB1 group.Changes in the expression levels of hepatic kinase B1,phosphorylated hepatic kinase B1,and phosphorylated AMPKα1 proteins in the cells were detected by western blot.(4)The cells were divided into four groups:mock group,estrogen receptor α group,estrogen receptor α+5 μmol/L Compound C(AMPK inhibitor)group,and estrogen receptor α+10 μmol/L Compound C group.The expression of proteins related to the AMPK signaling pathway and related to osteogenesis and osteoinductivity were detected by western blot method.Cells were transfected for 24 hours and then subjected to osteogenic induction for 14 days.Alkaline phosphatase staining was performed and cell viability in each group was detected.Mineralized nodule formation was detected by alizarin red staining at 21 days of osteogenic induction.(5)The cells were transfected and pretreated with different concentrations of AMPK inhibitor in corresponding groups,and cell viability was detected by cell counting kit 8.RESULTS AND CONCLUSION:(1)Estrogen receptor α activates the AMPK signaling pathway in MC3T3-E1 cells.(2)Estrogen receptor α promotes liver kinase B1 transcription and mediates AMPK signaling pathway activation.(3)Estrogen receptor α promotes the proliferation and differentiation of MC3T3-E1 cells by activating the AMPK signaling pathway,and the expression of AMPKα1,p-AMPKα,osteoprotegerin,osteopontin,and Runx2 proteins was down-regulated under the intervention of AMPK inhibitor,and the viability of osteoblasts was decreased.(4)To conclude,estrogen receptor α activates the AMPK signaling pathway by acting on liver kinase B1 promoter,promotes osteoblast proliferation and osteogenic differentiation,and prevents osteoporosis.
6.Construction and validation of a nomogram model for predicting cognitive frailty in hospitalized older adults
Yuhua LIU ; Mengya HAN ; Yan XU ; Yuhong LUO ; Chen XIN ; Guixin LIU ; Binru HAN
Chinese Journal of Nursing 2025;60(15):1811-1817
Objective A Nomogram model of cognitive frailty was constructed and validated in hospitalized older adults,providing a reference for early screening,intervention and personalized management of cognitive frailty.Methods A convenience sampling approach was employed to recruit 322 elderly inpatients from a tertiary hospital in Beijing between October 2024 and February 2025 as study participants,and data were collected using the General Information Questionnaire,the Short Form-Mini-Nutritional Assessment,the Asens Insomnia Scale,the Activity of Daily Living Rating,the Self-Rating Anxiety Scale,the Geriatric Depression Scale-15,the Social Support Rating Scale,the Frailty Phenotype scale,the Subjective Cognitive Decline Questionnaire-9,the Mini-Mental State Examination,and the Clinical Dementia Rating.Lasso-Logistic regression was used to screen the variables,R software was used to draw the nomogram model;Bootstrap method was used for internal validation.Results Lasso-Logistic regression screened 8 predictors of age,depression,anxiety,support utilization,nutritional status,literacy,physical activity,and chronic pain,with an area under the subject operating characteristic curve of 0.830(95%CI:0.787-0.873),a sensitivity of 0.764,a specificity of 0.730,an accuracy of 0.748,and a calibrated curve,Brier score,and Hosmer-Lemeshow test(P=0.774)all showed that the model fit was good.Conclusion The Lasso-Logistic regression-based nomogram model of cognitive frailty in hospitalized older adults has good predictive performance and clinical utility,and can be used as a reference for early identification and intervention of cognitive decline in hospitalized older adults.
7.Abietane diterpenoids and iridoids from Caryopteris mongolica.
Shanshan ZHANG ; Xudong MAO ; Hongtao XU ; Xiaohui WEI ; Guixin CHOU
Chinese Journal of Natural Medicines (English Ed.) 2023;21(12):927-937
Six new abietane diterpenoids (1-6) and five undescribed iridoids (7-11) have been isolated from the aerial parts of Caryopteris mongolica. The intricate structural characterization of these compounds was meticulously undertaken using an array of advanced spectroscopic techniques. This process was further enhanced by the application of DP4+ probability analyses and electronic circular dichroism (ECD) calculations. Following isolation and structural elucidation, the cytotoxicity of these compounds was evaluated. Among them, compound 3 stood out, displaying significant cytotoxic activity against HeLa cells with an IC50 value of 7.83 ± 1.28 μmol·L-1. Additionally, compounds 1, 2, 4, 9, and 10 manifested moderate cytotoxic effects on specific cell lines, with IC50 values ranging from 11.7 to 20.9 μmol·L-1.
Humans
;
Abietanes/chemistry*
;
HeLa Cells
;
Lamiaceae/chemistry*
;
Circular Dichroism
;
Diterpenes/chemistry*
;
Molecular Structure
9.Applications, industrial transformation and commercial value of brain-computer interface technology.
Jiangong LUO ; Peng DING ; Anmin GONG ; Guixin TIAN ; Haotian XU ; Lei ZHAO ; Yunfa FU
Journal of Biomedical Engineering 2022;39(2):405-415
Brain-computer interface (BCI) is a revolutionary human-computer interaction technology, which includes both BCI that can output instructions directly from the brain to external devices or machines without relying on the peripheral nerve and muscle system, and BCI that bypasses the peripheral nerve and muscle system and inputs electrical, magnetic, acoustic and optical stimuli or neural feedback directly to the brain from external devices or machines. With the development of BCI technology, it has potential application not only in medical field, but also in non-medical fields, such as education, military, finance, entertainment, smart home and so on. At present, there is little literature on the relevant application of BCI technology, the current situation of BCI industrialization at home and abroad and its commercial value. Therefore, this paper expounds and discusses the above contents, which are expected to provide valuable information for the public and organizations, BCI researchers, BCI industry translators and salespeople, and improve the cognitive level of BCI technology, further promote the application and industrial transformation of BCI technology and enhance the commercial value of BCI, so as to serve mankind better.
Brain/physiology*
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Brain-Computer Interfaces
;
Electroencephalography
;
Humans
;
Technology
;
User-Computer Interface
10.Individualized plasticity autograft mimic with efficient bioactivity inducing osteogenesis.
Yan WEI ; Guixin ZHU ; Zifan ZHAO ; Chengcheng YIN ; Qin ZHAO ; Hudi XU ; Jinyang WANG ; Jinglun ZHANG ; Xiaoxin ZHANG ; Yufeng ZHANG ; Haibin XIA
International Journal of Oral Science 2021;13(1):14-14
Mineralized tissue regeneration is an important and challenging part of the field of tissue engineering and regeneration. At present, autograft harvest procedures may cause secondary trauma to patients, while bone scaffold materials lack osteogenic activity, resulting in a limited application. Loaded with osteogenic induction growth factor can improve the osteoinductive performance of bone graft, but the explosive release of growth factor may also cause side effects. In this study, we innovatively used platelet-rich fibrin (PRF)-modified bone scaffolds (Bio-Oss
Autografts
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Bone Regeneration
;
Cell Differentiation
;
Humans
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Mesenchymal Stem Cells
;
Osteogenesis
;
Tissue Engineering
;
Tissue Scaffolds

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